OpenLCA 1.4 overview and first steps Andreas Ciroth, Sarah Winter, GreenDelta Berlin, email@example.com. We will import these now into the ecoinvent database, as follows. Documents Similar To OpenLCA 1 4 Overview and First Steps v1. Alberto Fierro. Life Cycle Assessment.
We develop comprehensive national and regional LCA-databases based on economical and environmental statistics. For individual customers we develop proprietary databases, often combining input-output data with specific process data in so-called hybrid databases. Projects. Our data collection strategy To reduce time consumption and costs of a life cycle study, data collection should be limited to the data, which are most important in order to answer the questions asked. It is for these key data that high quality (validation, level of detail, completeness, and representativeness) is required, while the remaining part of the study may apply default data or may even be disregarded altogether. Thus, the identification of key data may be used to guide data collection in a specific study.
The identification of key data is based on the following characteristics:. Key data are relatively large and have a large variation.
Key data explain causes of variation or other causal relations. Key data are not just those data that are large, but those data for which there is also a large improvement potential.
A large improvement potential may be revealed by a large variation in the data (although variation may also be unavoidable). Knowledge on the determining factors for the variation may be just as important as the data themselves, since this may allow modelling of the data to the specific situation. For example, if it is known that the energy consumption in a dairy is largely determined by the size of the dairy and the degree of process integration (incl. Recovery of heat), the key energy consumption data for dairies must be expressed not only as energy per kg processed milk, but also related to dairy size and degree of process integration. Such causal relations may be particularly important when they determine what processes should be included in a study, including influence on other systems.
For example, if milk is identified as a major determining factor for the number of consumer shopping trips, a change in the distribution (e.g. Provision of home deliveries of milk) might lead to a reduction of the number of shopping trips, which could be of larger environmental importance than the entire remaining life cycle of the milk itself. When a specific desired dataset is not available, you may decide to use – with or without adjustments – another dataset as a default, e.g.
Older data than desired, data from a different geographical location, or from a slightly different technology. Data from statistical may be applied for less important parts of the product systems. The additional uncertainty introduced into the study by the use of such data must be assessed, and when more than one default data set is available (e.g. One old data set from the right region, and a more recent dataset from an adjacent region), the best of these datasets is the one that (with possible adjustments) minimises the additional uncertainty. Data management Having applied a lot of effort in obtaining adequate data, you will want these data to be available also for future use and documentation. Therefore, adequate procedures are needed for documenting the data collection.
The “data” concept covers both qualitative and quantitative information as well as “meta-data”, i.e. Data about the data, e.g. Information on how the data were obtained and on their validity and limitations.
Importing Ecoinvent Database In Ecospold Format For Mac And Cheese
Efficient data documentation, storage, and retrieval for later use, require an electronic data format, and preferably a standardised one that allows export and import between different software and databases. For this purpose we developed the format for LCI data, in co-operation with a large number of LCI data suppliers. A modified version of this format (EcoSPOLD) was later adopted by the leading database supplier. A was developed as part of the CASCADE project. This now serves as a key input to managers of national and industry database initiatives.
Dear OpenLCA users, I recently decided to learn OpenLCA, as I have to do the LCA of the product I am designing for my master project. I was given by my school a copy of the Ecoinvent database already converted from Ecospold files through OpenLCA in MySQL files. I was told that I could simply copy this database folder in the 'openlca-data' folder popping up in my home directory, and that OpenLCA will read the database, when connected to the MySQL local server. It did not work: I could copy the folder, but OpenLCA could not see the Processes. When looking on this documentation website, I saw that the 'openlca-data/data' folder was indeed containing the database when using Windows. I use Mac OS X 10.6 and wonder if the database is supposed to be stored somewhere else.
I tried to create a mock process in the virgin database created from the MySQL connection in the left column of the sowtware, but could not retrieve it in the 'openlca-data' folder. I could not find any 'openlca-data/data' folder, even empty, and no 'open-lca/.metadata' or 'open-lca/export-templates' folder either, although I could see them on Windows screenshots that were provided to me. Do you any idea how I can solve this problem? To summarize I want to import an Ecoinvent database already imported once through OpenLCA from Ecospold format and converted in MySQL files. I have the folder ready, and would like to now where I have to copy it to have the database read by the software.
Thank you in advance for your answer, Best regards, and happy 2012 to all of you, Michka.